2009
DOI: 10.1016/j.foodres.2008.12.012
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Texture appearance characterization of pre-sliced pork ham images using fractal metrics: Fourier analysis dimension and lacunarity

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Cited by 50 publications
(36 citation statements)
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References 60 publications
(65 reference statements)
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“…[14,16,17,19] Fractal is another useful method which is used to quantify the food colour and structural changes. [20][21][22][23] In the 1960s, Mandelbrot used the 'fractal' to indicate objects whose complex geometry can't be simply described by Euclidean dimension. [24] Fractal dimension (FD) shows the degree of ruggedness and geometric complexities of both natural and synthetic particles.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[14,16,17,19] Fractal is another useful method which is used to quantify the food colour and structural changes. [20][21][22][23] In the 1960s, Mandelbrot used the 'fractal' to indicate objects whose complex geometry can't be simply described by Euclidean dimension. [24] Fractal dimension (FD) shows the degree of ruggedness and geometric complexities of both natural and synthetic particles.…”
Section: Introductionmentioning
confidence: 99%
“…Study on FD and lacunarity of pre-sliced pork ham revealed irregularity and complexity of texture dependent on its formulation and processing conditions. [23] FD was used to study the changes in the intensity of the redness colour in meat during oxidation as an indicator of alterations in the non-homogenous distribution of the colours associated with redness intensity and content of metmyoglobin and Thiobarbituric acid reactive substances (TBARS). [25] It was also found that FD could be applied to describe the enzymatic browning of avocado puree and slices of pear, apple, banana, and avocado.…”
Section: Introductionmentioning
confidence: 99%
“…TF is useful in the analysis and description of natural scenes and environments and in the classification or categorization of pictorial data (17,18). One method for determining texture features is the analysis of the surface intensity (SI), which is obtained by plotting the (x, y) pixel coordinates versus the gray level of each pixel (z axis) (19,20). When the SI is characterized using the fractal dimension (FD), the TF is called the fractal texture of the image.…”
Section: Introductionmentioning
confidence: 99%
“…According to Quevedo et al (2008), the texture of images usually called the texture feature (TF) provides an important means for pattern recognition to characterize the arrangement of basic constituents of a surface material. The TF is useful for the analysis and description of natural scenes and environments and for the classification or categorization of pictorial data (Quevedo et al 2002;Santacruz-Vázquez et al 2007;Valous et al 2009). The TF can be determined by analyzing the surface intensity (SI), which is in turn obtained by plotting the pixel coordinates (x and y axes) against the gray level of each pixel (z axis) (Valous et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…The TF is useful for the analysis and description of natural scenes and environments and for the classification or categorization of pictorial data (Quevedo et al 2002;Santacruz-Vázquez et al 2007;Valous et al 2009). The TF can be determined by analyzing the surface intensity (SI), which is in turn obtained by plotting the pixel coordinates (x and y axes) against the gray level of each pixel (z axis) (Valous et al 2009). When SI is characterized using FD, the TF is called the fractal texture of the image (Amadasun and King 1989;Quevedo et al 2009).…”
Section: Introductionmentioning
confidence: 99%